Individual skill
phoenix-observability
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
backend/cli/skills/ml-inference/phoenix/SKILL.md
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- observability Declared skill tag
- phoenix Declared skill tag
- arize Declared skill tag
- tracing Declared skill tag
- evaluation Declared skill tag
- monitoring Declared skill tag
- llm-ops Declared skill tag
- opentelemetry Declared skill tag
- testing Derived category
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# Phoenix - AI Observability Platform
Open-source AI observability and evaluation platform for LLM applications with tracing, evaluation, datasets, experiments, and real-time monitoring.
## When to use Phoenix
**Use Phoenix when:**
- Debugging LLM application issues with detailed traces
- Running systematic evaluations on datasets
- Monitoring production LLM systems in real-time
- Building experiment pipelines for prompt/model comparison
- Self-hosted observability without vendor lock-in
**Key features:**